Summary of Key AI projects in surgery
Publications
As a clinician dedicated to evidence-based healthcare, I have conducted a number of studies examining AI in the clinical setting.
Some of my key publications include:
- Wingfield, L.R., Wainwright, K., Knight, S., Webb, H. (2025). A Trusted Friend in the Middle of the Night: End-User Perspectives on Artificial Intelligence Informed Software Systems as a Decision-Making Aid for Patients and Clinicians Navigating Uncertainty in Kidney Transplant. Software and Systems. ICTSS 2024. Lecture Notes in Computer Science, vol 15383. Springer, Cham.
- Salaun A., Knight S., Wingfield LR, Zhu T. Predicting graft and patient outcomes following kidney transplantation using interpretable machine learning models. Sci Rep. 2024 Jul 29;14(1):17356.
- Wingfield LR, Salaun A., Khan A., Webb H., Zhu T., Knight S. Clinical decision support systems used in transplantation: are they tools for success or an unnecessary gadget?Transplantation. 2024 Jan 1;108(1):72-99.
- Wingfield LR, Ceresa C, Thorogood S, Fleuriot J, Knight S. Artificial Intelligence and Liver Transplant: Predicting Survival of Individual Grafts, A systematic review. Liver Transpl. 2020 April.
- Bringing Artificial Intelligence to Patient Care in Bariatric Surgery: A Feasibility Study. Association of Surgeons in Training National Conference. Bournemouth, UK. 1 April 2017, Poster Presentation by L. Wingfield.